“Moni KI” is an applied AI initiative to relieve the staff of Hotel Linde Donaueschingen from repetitive enquiries, elevate guest experience, and modernise digital
touchpoints using an always-on multilingual concierge.
Hotel Linde in Donaueschingen, Germany, is a small traditional hotel in a heritage-protected building from 1918. To streamline operations, increase efficiency, and provide better customer experience, the hotel has progressed through several waves of digital transformation. Next on the list is a website upgrade: the current site appears outdated in design and imagery and lacks modern technical functionality, creating friction for prospects and extra load for staff.
Management and staff juggle guest service, repetitive admin, bureaucracy, and constant problem-solving. This squeezes the time available for elevating the guest journey and progressing strategic initiatives. A major time sink is responding to online enquiries, often standard questions, handled manually via email, leading to slow response times and uneven quality.
Problems & limitations
Manual responses are prone to error and inconsistencies
Missed opportunities when enquiries arrive outside working hours
Digital presence perceived as old-fashioned and not customer-centric
How can the hotel management team be relieved from answering frequently asked questions manually?
Moni KI answers the most frequently asked questions about Hotel Linde instantly where they arise—on the web—guiding prospects to the right
information without delay. It reduces manual email volume, ensures consistent tone, and keeps the brand responsive at all hours.
Features
Hotel knowledge: Answers on all things Hotel Linde
User-friendly: Clear, conversational experience
Quick actions: Tap-through buttons for common tasks
Smart referrals: Routes to booking and key pages
24/7 availability: Always on, never misses enquiries
Bilingual: Answers in German and English
Canva >> Layout template on brand with Hotel Linde CI using UX best practices.
ChatGPT >> Used for hotel website scraping, knowledge gathering and structuring, prompt engineering, testing, and bug fixes.
Lovable >> Used for web development, testing, bug fixing, and hosting.Uses Google Gemini 2.5 Flash via Lovable AI9s built-in gateway.
Supabase >> Back-end for knowledge base hosting and LLM access, logging conversations, and storing escalations.
Stack rationale: rapid prototyping, reliable hosting, and a scalable data layer aligned to privacy and cost control.
Website Embedding: Full integration of Moni KI into the new Hotel Linde DS website once it launches, providing guests with immediate access to information.
Expand Knowledge Base: Integrating information on local attractions, events, and activities to enrich guest experience and provide comprehensive regional insights.
Continuous Testing & Training: Ongoing user testing and RAG (Retrieval Augmented Generation) model refinement to ensure accuracy and enhance chatbot performance.
Email Integration: Seamlessly forwarding specific guest enquiries to management via email (e.g., using Resend) for efficient follow-up and personalised service.
